Claude IPC MCP
A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.
What is Claude IPC MCP?
Claude IPC MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol server that enables ai assistants to communicate with each other using inter-process communication, featuring natural language commands and cross-platform compatibility.
A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol server that enables AI assistants t
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx claude-ipc-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Claude IPC MCP
Claude IPC MCP is a Model Context Protocol server that implements inter-process communication (IPC) between AI assistants, functioning like an asynchronous messaging system for AI agents. It allows AI instances — whether Claude Code, Gemini CLI, or other MCP-compatible tools — to register with a unique name, send messages to each other, check pending messages in an inbox, and discover connected agents, all through natural language commands. Developers building multi-agent pipelines can use it to coordinate tasks across different AI tools running on the same machine without writing any integration code.
Prerequisites
- Python 3.10+ installed
- uv package manager installed: curl -LsSf https://astral.sh/uv/install.sh | sh
- Git installed to clone the repository
- Two or more MCP-compatible AI clients configured (e.g., Claude Code and Gemini CLI) for actual AI-to-AI messaging
Clone the repository
Clone the claude-ipc-mcp repository from GitHub to your local machine.
git clone https://github.com/jdez427/claude-ipc-mcp.git
cd claude-ipc-mcpInstall Python dependencies
Use uv to install the project dependencies into an isolated virtual environment.
uv syncRun the automated install script
Execute the included install script to automatically register the MCP server with supported clients on your system.
chmod +x ./scripts/install-mcp.sh
./scripts/install-mcp.shAdd the server manually if needed
If the install script does not cover your MCP client, add the server configuration manually. Replace /path/to/claude-ipc-mcp with the actual cloned directory path.
{
"mcpServers": {
"claude-ipc-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/claude-ipc-mcp",
"python",
"-m",
"claude_ipc_mcp"
]
}
}
}Configure the server in each AI agent that will participate
Add the same MCP server config to every AI agent (Claude, Gemini CLI, etc.) that needs to participate in the multi-agent IPC network. All agents must connect to the same running IPC server instance.
Register each agent and begin messaging
In each AI instance, use the natural language registration command to give it a unique name, then use send and check commands to exchange messages between agents.
Claude IPC MCP Examples
Client configuration
Claude Desktop MCP configuration for the claude-ipc-mcp server running via uv from the locally cloned repository.
{
"mcpServers": {
"claude-ipc-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/Users/yourname/claude-ipc-mcp",
"python",
"-m",
"claude_ipc_mcp"
]
}
}
}Prompts to try
Example natural language commands for setting up and using AI-to-AI inter-process communication.
- "Register this instance as claude"
- "List instances" (see which AI agents are registered)
- "Send message to gemini: Please analyze the schema in schema.sql and return a summary"
- "Check messages" (retrieve messages sent to this agent)
- "Send message to claude: Analysis complete — the schema has 12 tables with 3 foreign key relationships"
- "Register this instance as gemini" (run this in the Gemini CLI session)Troubleshooting Claude IPC MCP
Messages sent to another agent are never delivered
Both AI agents must be connected to the same running IPC server instance simultaneously. Confirm that both agents have the claude-ipc-mcp server active in their MCP config, and that both have registered with unique names using 'Register this instance as [name]'.
uv sync fails with dependency resolution errors
Ensure you are using Python 3.10 or newer: run 'python3 --version'. If uv uses an older interpreter, specify the version: 'uv sync --python 3.11'. Also try 'uv self update' to ensure uv itself is current.
The install script does not recognize my MCP client
The install script may only support a subset of clients. For unsupported clients, manually copy the server configuration JSON block from step 4 into your client's MCP config file and restart the client.
Frequently Asked Questions about Claude IPC MCP
What is Claude IPC MCP?
Claude IPC MCP is a Model Context Protocol (MCP) server that model context protocol server that enables ai assistants to communicate with each other using inter-process communication, featuring natural language commands and cross-platform compatibility. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Claude IPC MCP?
Follow the installation instructions on the Claude IPC MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Claude IPC MCP?
Claude IPC MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Claude IPC MCP free to use?
Yes, Claude IPC MCP is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Claude IPC MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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